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Senior Software Engineer - ETL

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Onsite

Senior Software Engineer - ETL

Wells Fargo

Senior Software Engineer - ETL

Skills

SQL QueriesData EngineeringPythonpandasData AnalysisOraclePySparkCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Job Summary

Wells Fargo is seeking a Senior Software Engineer

In this role, you will

  • Lead moderately complex initiatives and deliverables within technical domain environments
  • Contribute to large scale planning of strategies
  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications

  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications

Key Responsibilities

We are seeking a highly skilled Senior Data Engineer with strong expertise in SSIS, Informatica PowerCenter, Informatica IDMC / IICS to design, develop, modernize, and support enterprise-scale data integration solutions.

This role is responsible for building and maintaining robust ETL/ELT pipelines, enabling seamless data movement across on-premises and cloud platforms, and delivering scalable, high-quality data solutions for analytics, reporting, regulatory, and business-critical applications. The ideal candidate will have hands-on experience in legacy-to-modern ETL migrations, data warehousing, automation, performance optimization, and production support.

  • Design, develop, and maintain complex ETL/ELT pipelines using SSIS, Informatica PowerCenter, and Informatica IDMC/IICS.
  • Lead modernization and migration initiatives from PowerCenter/SSIS to IDMC and Python-based data processing frameworks.
  • Develop and optimize data integration solutions for SQL Server, Oracle, cloud data platforms, and enterprise data warehouses.
  • Build Python-based utilities, frameworks, and automation solutions for data ingestion, validation, reconciliation, logging, monitoring, and orchestration.
  • Perform complex data transformations, cleansing, enrichment, and data quality implementations using SQL, Python, and ETL tools.
  • Develop and maintain data integration processes across heterogeneous sources, including relational databases, flat files, APIs, cloud storage, and SaaS platforms.
  • Implement robust error handling, audit logging, restartability, and performance tuning capabilities within ETL workflows.
  • Collaborate with business analysts, architects, data modelers, and stakeholders to translate business requirements into scalable technical solutions.
  • Support production deployments, incident management, root cause analysis, and continuous performance improvements.
  • Participate in code reviews, design reviews, and the establishment of ETL/data engineering best practices and standards.
  • Work with enterprise scheduling and orchestration tools such as Control-M, Autosys, SQL Agent, Informatica Scheduler, or equivalent platforms.
  • Create and maintain technical documentation, operational runbooks, and knowledge-sharing artifacts.
  • Ensure compliance with enterprise data governance, security, and regulatory requirements.

Job Expectations

  • SSIS Development and Administration
  • Informatica PowerCenter
  • Informatica IDMC / IICS (CDI, CAI, Mass Ingestion, Data Quality)
  • Advanced SQL (SQL Server, Oracle)
  • Python (Pandas, PySpark, Automation Framework)

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